一作ACL 2026Findings· Findings of ACL
LANTERN in the Event Stream: Training-Free Temporal Knowledge Graph Forecasting by Balancing Inertia and Shifts
Chengyuan Jin · Ao Chang · Daojian Zeng · Wenhao Teng · Xiangwen Liao · Kang Liu · Jun Zhao · Yubo Chen
摘要
Temporal knowledge graph forecasting(TKGF) asks a model to rank the mostplausible future entity for a query such as(s, r, ?, t) from historical events. Recenttraining-free methods use large languagemodels (LLMs) for this task, but their accuracydepends heavily on which past events areshown in the...